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首页> 外文期刊>IEEE transactions on industrial informatics >Model Predictive Power Dispatch and Control With Price-Elastic Load in Energy Internet
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Model Predictive Power Dispatch and Control With Price-Elastic Load in Energy Internet

机译：能源互联网中具有价格弹性负载的模型预测功率分配和控制

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摘要

The safety and stability of modern power systems are undergoing various challenges, introduced by the integration of fluctuating renewable generation. In this paper, we present a hierarchical model predictive power dispatch and control strategy for a class of modern power systems with price-elastic controllable loads (CLs) in energy Internet. In the upper-level optimization, a generalized multiperiod economic dispatch (GMPED) problem is organized within an electricity market environment aiming at maximizing the social welfare. Specifically, the price-elastic CLs are aggregated in controllable load aggregators (CLAs) to participate in the market competition. A novel utility function of the price-elastic CLAs is proposed for market demand response. By solving GMPED, the power setpoints of plants over the further periods are produced, as well as the real-time price for the optimal response of price-elastic CLAs. In the second-level operation, two types of model predictive control-based controllers for both the supply and demand sides are designed for power tracking control by considering the model of the power system and aggregated thermostatically controlled loads. Finally, two case studies are performed on the IEEE 14- and 39-bus system, respectively, which shows that the system-frequency deviation and system cost are reduced significantly with the proposed methods.
机译：由于波动的可再生能源发电的集成，现代电力系统的安全性和稳定性正在面临各种挑战。在本文中，我们针对能源互联网中具有价格弹性可控负载（CL）的一类现代电力系统，提出了一种层次模型预测电力调度和控制策略。在上级优化中，旨在最大化社会福利的电力市场环境中组织了广义多周期经济调度（GMPED）问题。具体来说，价格弹性CL会聚集在可控负载聚合器（CLA）中，以参与市场竞争。提出了一种价格弹性CLA的新型效用函数，用于市场需求响应。通过求解GMPED，可以得出进一步周期内工厂的功率设定点，以及实时价格，从而获得价格弹性CLA的最佳响应。在第二级操作中，通过考虑电力系统的模型和汇总的恒温控制负载，针对供需双方设计了两种基于模型预测控制的控制器来进行功率跟踪控制。最后，分别在IEEE 14总线和39总线系统上进行了两个案例研究，结果表明，所提出的方法显着降低了系统频率偏差和系统成本。

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